Write proposals modeled on your winning ones with AI

The proposals that win have a shape you have refined over time - the executive summary, the way you frame scope, the ordering of sections, the language that closes. Generic AI writes a generic proposal. A proposal brain writes yours, adapted to the client in front of you.

The problem: every proposal reinvents the format

Under deadline, you copy the last proposal, strip the client-specific parts, and rebuild. It works, but it is slow, and details drift - a section drops, the scope language loosens, the pricing framing changes. The proven format lives in past documents, not in a form you can reuse quickly.

How a proposal brain works

Connect a folder of your proposals and pitches - especially the ones that won - and KBrain builds a brain that learns their structure, section ordering, and persuasive language. Give it a client or opportunity and it drafts a new proposal that follows your format, keeping scope and pricing language consistent with prior work.

• Winning proposals: the examples that define your structure and tone
• Section templates: executive summary, scope of work, timeline, pricing
• Persuasive language: the framing and phrasing that closes
• Scope and deliverables patterns: how you define what is in and out
• Pricing and terms language: kept consistent with how you quote

Example prompts

• "Draft a proposal for a mid-size retail client."
• "What sections do our proposals usually include?"
• "Tighten this scope-of-work section."
• "Adapt our standard proposal for a six-week engagement instead of twelve."